title: Hippocampal shape analysis in Alzheimer's disease using functional data analysis.
abstract: The hippocampus is one of the first affected regions in Alzheimer's disease. The left hippocampi of control subjects, patients with mild cognitive impairment and patients with Alzheimer's disease are represented by spherical harmonics. Functional data analysis is used in the hippocampal shape analysis. Functional principal component analysis and functional independent component analysis are defined for multivariate functions with two arguments. A functional linear discriminant function is also defined. Comparisons with other approaches are carried out. Our functional approach gives promising results, especially in shape classification.
authors.affiliation: Dept. Matemàtiques, Universitat Jaume I, Campus del Riu Sec, 12071 Castelló, Spain.
authors.forename: Irene
authors.initials: I
authors.lastname: Epifanio
authors.forename: Noelia
authors.initials: N
authors.lastname: Ventura-Campos
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000503:physiopathology*; D003072:Cognition Disorders / Q000503:physiopathology*; D005260:Female; D006624:Hippocampus / Q000033:anatomy & histology*; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D025341:Principal Component Analysis
keywords: Alzheimer's disease; discriminant analysis; functional data analysis; independent component analysis; principal component analysis; shape analysis